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>But for most of the world, including the people using whatever Marcus's startup eventually makes, predictive accuracy trumps interpretability. Does it? What
by eli_gottlieb 11y ago
>But for most of the world, including the people using whatever Marcus's startup eventually makes, predictive accuracy trumps interpretability.
Does it? What if the network has 99% accuracy, but is equally confident about its correct and incorrect predictions? "Deep neural networks are easily fooled", after all.
- vonnik 11y agoSure, that's a flaw. It's just not a fatal flaw. For the chief reason that there's probably nothing better. So you take your lumps and remember that it's wrong sometimes. It's something we can work on while still benefitting from these tools.
- eli_gottlieb 11y ago>For the chief reason that there's probably nothing better. The paper "Deep Neural Networks are Easily Fooled" noted that generative models don't suffer from this flaw.